Triple
T20999986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fulk II of Anjou |
E517258
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Ingelger |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ingelger | Statement: [Fulk II of Anjou, notableRelative, Ingelger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingelger Context triple: [Fulk II of Anjou, notableRelative, Ingelger]
-
A.
Ingelger
chosen
Ingelger was a 9th-century Frankish nobleman regarded as the founder of the House of Anjou and progenitor of the powerful Angevin dynasty.
-
B.
Dyhernfurth
Dyhernfurth was a town in Lower Silesia (now Brzeg Dolny, Poland) that became known for its chemical industry, including facilities associated with German chemist Otto Ambros during World War II.
-
C.
Berhtwald
Berhtwald was an early 8th-century Archbishop of Canterbury who played a key role in consolidating the English Church after the reforms of Theodore of Tarsus.
-
D.
Ingerman
Ingerman is the surname of American actor and comedian Marty Ingels, known for his work in television and voice acting.
-
E.
Grimminge
Grimminge is a village in the Belgian city of Geraardsbergen, known for its rural character and historic church.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc24a6dc8190a6bf81cf1d9590c0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.